67 lines
1000 B
Markdown
67 lines
1000 B
Markdown
---
|
|
id: 5e9a093a74c4063ca6f7c15e
|
|
title: Data Cleaning with DataFrames
|
|
challengeType: 11
|
|
isHidden: false
|
|
videoId: sTMN_pdI6S0
|
|
---
|
|
|
|
## Description
|
|
|
|
<section id='description'>
|
|
More resources:
|
|
- <a href="https://notebooks.ai/rmotr-curriculum/data-cleaning-rmotr-freecodecamp-fd76fa59" target='_blank'>Notebook</a>
|
|
</section>
|
|
|
|
## Tests
|
|
|
|
<section id='tests'>
|
|
|
|
````yml
|
|
question:
|
|
text: |
|
|
What will the following code print out?
|
|
|
|
```py
|
|
import pandas as pd
|
|
import numpy as np
|
|
|
|
s = pd.Series([np.nan, 1, 2, np.nan, 3])
|
|
s = s.fillna(method='ffill')
|
|
|
|
print(s)
|
|
```
|
|
|
|
answers:
|
|
- |
|
|
```
|
|
0 1.0
|
|
1 1.0
|
|
2 2.0
|
|
3 3.0
|
|
4 3.0
|
|
dtype: float64
|
|
```
|
|
- |
|
|
```
|
|
0 NaN
|
|
1 1.0
|
|
2 2.0
|
|
3 2.0
|
|
4 3.0
|
|
dtype: float64
|
|
```
|
|
- |
|
|
```
|
|
0 NaN
|
|
1 1.0
|
|
2 2.0
|
|
3 NaN
|
|
4 3.0
|
|
dtype: float64
|
|
```
|
|
solution: 2
|
|
````
|
|
|
|
</section>
|